Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses
Job Summary
Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses.
The role balances scientific analysis with program-level coordination to strengthen consistency and scalability across CAI’s automated scoring system.
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences.
Matching Summary
Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses.
Skills & Requirements
Must-have
natural language applications
deep learning tools and models
automated scoring system
program-level coordination
cross-program perspective
Nice-to-have
research-based personalized approach
fostering a culture that celebrates unique backgrounds
client-facing work presentations
Key Requirements
Ph.D. or Master’s degree with equivalent applied experience